{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T03:45:37Z","timestamp":1782704737522,"version":"3.54.5"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008788","name":"National Institute of Technology Karnataka, Surathkal","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008788","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3557532","type":"journal-article","created":{"date-parts":[[2025,4,3]],"date-time":"2025-04-03T20:00:37Z","timestamp":1743710437000},"page":"61161-61180","source":"Crossref","is-referenced-by-count":6,"title":["HSoMLSDP: A Hybrid Swarm-Optimized Machine Learning Framework for Software Defect Prediction"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-8645-9768","authenticated-orcid":false,"given":"Madhusmita","family":"Das","sequence":"first","affiliation":[{"name":"Department of Information Technology, National Institute of Technology Karnataka, Surathkal, Mangalore, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Biju R.","family":"Mohan","sequence":"additional","affiliation":[{"name":"Department of Information Technology, National Institute of Technology Karnataka, Surathkal, Mangalore, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1361-3837","authenticated-orcid":false,"given":"Ram Mohana Reddy","family":"Guddeti","sequence":"additional","affiliation":[{"name":"Department of Information Technology, National Institute of Technology Karnataka, Surathkal, Mangalore, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-023-06467-x"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/4235.585893"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S1672-6529(09)60240-7"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10898-007-9149-x"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2387067"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.05.041"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.12.043"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2013.03.016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2017.01.004"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3067597"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-04789-8"},{"key":"ref12","article-title":"Acomprehensive survey of new meta-heuristic algorithms","volume-title":"Recent Advances in Hybrid Metaheuristics for Data Clustering","author":"Razmjooy","year":"2019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3343-2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-021-01448-x"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3153038"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-021-01368-w"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8870783"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-03049-6"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.35882\/jeeemi.v6i2.375"},{"key":"ref20","doi-asserted-by":"crossref","DOI":"10.21203\/rs.3.rs-4265974\/v1","article-title":"Machine learning based approach for software defect prediction using hyperparameter","author":"Sharma","year":"2024"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3287326"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/HORA58378.2023.10156708"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.9734\/jerr\/2024\/v26i61188"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/iceca49313.2020.9297613"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124606"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/I2CT54291.2022.9823996"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3358201"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/math12142208"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiolchem.2021.107619"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12010113"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-72711-6_4"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IC3INA60834.2023.10285736"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2018.2794977"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-7907-3_37"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.32604\/iasc.2022.020362"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.29207\/resti.v8i3.5730"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/IATMSI60426.2024.10503224"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IATMSI60426.2024.10503337"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-024-03171-y"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1080\/23311916.2020.1855741"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/math12162521"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.33915\/etd.3018"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMM.421.496"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2018.07.044"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1504\/IJMMNO.2013.055204"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.4236\/jsea.2019.125007"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCNT49239.2020.9225352"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2022.0130381"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-018-1730-1"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.14569\/ijacsa.2019.0100538"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.32604\/iasc.2021.018405"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-09070-7_49"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.3390\/sym13112166"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10948442.pdf?arnumber=10948442","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,11]],"date-time":"2025-04-11T04:30:17Z","timestamp":1744345817000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10948442\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3557532","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}